跨空间域数据管理分布式共识算法:现状、挑战和展望

Distributed consensus algorithms for crossdomain data management:state-of-the-art,challenges and perspectives

随着数字经济的飞速发展,以及“全国一体化数据中心”和“东数西算”等基础设施的不断完善,数据要素流通的大趋势使数据服务逐步由面向单一空间域的数据管理转变为面向跨空间域的数据管理。跨域数据管理需要通过分布式共识算法使数据一致。然而,已有的分布式共识算法仅考虑单数据中心的情况,没有考虑跨数据中心之间的网络通信的不确定性,从而在跨空间域场景下面临日志同步时延大、系统吞吐量低下等问题。系统地梳理了跨空间域下的分布式共识算法的现状以及面临的新挑战,并针对解决这些挑战的技术路线进行了展望。

With the exponential growth of data and the company's cross-domain disaster recovery requirements,companies increasingly need to manage data across spatial domains.Cross-domain data management requires a distributed consensus algorithm to make the data consistent.However,the existing distributed consensus algorithms only consider the situation of a single data center,and do not consider the uncertainty of network communication between data centers,so they face long log synchronization delays and low system throughput in cross-space region scenarios and other issues.The current status and new challenges of distributed consensus algorithms in the cross-space domain were sorted out systematically,and the technical route to solve these challenges was looked forward.